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- Tasks: Lead a team of Data Scientists and develop innovative machine learning solutions.
- Company: Join a leading global professional services company with a focus on data-driven decision making.
- Benefits: Enjoy 30 days of vacation, medical insurance, and gym subsidies.
- Why this job: Shape the future of analytics while solving complex business problems.
- Qualifications: Strong experience in data science, Python coding, and cloud technologies required.
- Other info: Dynamic work environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading global professional services company is seeking a Data Science Manager based in London. The role involves leading Data Scientists, developing machine learning solutions, and solving complex business problems using advanced analytics.
Ideal candidates will have strong experience in data science, Python coding, and cloud technologies.
This position offers 30 days of vacation and benefits like medical insurance and gym subsidies. Join us to shape the future of data-driven decision making.
London Data Science Manager — Lead ML & AI Teams employer: Accenture UK & Ireland
Contact Detail:
Accenture UK & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London Data Science Manager — Lead ML & AI Teams
✨Tip Number 1
Network like a pro! Reach out to current employees in similar roles on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best machine learning projects. This is your chance to demonstrate your Python prowess and cloud tech experience.
✨Tip Number 3
Ace the interview by practising common data science questions. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining us.
We think you need these skills to ace London Data Science Manager — Lead ML & AI Teams
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data science, Python coding, and cloud technologies. We want to see how you've tackled complex problems in the past, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Use keywords from the listing to show us you’re a perfect fit for the Data Science Manager role.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Accenture UK & Ireland
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals. Be ready to discuss your experience with machine learning, Python coding, and cloud technologies. Prepare examples of how you've solved complex business problems using advanced analytics.
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll be leading teams. Think about times when you've successfully managed projects or mentored others. Be prepared to share specific examples that highlight your leadership style and how you motivate your team.
✨Understand the Company’s Vision
Research the company and its approach to data-driven decision making. Familiarise yourself with their recent projects or initiatives in the field of data science. This will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the challenges they face, and how success is measured in this role. This shows you're not just interested in the job, but also in how you can contribute to their success.
